摘要
利用正交设计方法对ＡＢ５型混合稀土镍系合金电极材料Ｌａ１－ｘ－ｙ－ｚＣｅｘＰｒｙＮｄｚＢ５的容量、高倍率放电性能、循环寿命和电压平台等性能进行了实验测定，以进一步优化电极材料的Ａ组元，提高电极性能。通过模式识别对实验数据进行分类并据此设计了新的样本。利用人工神经网络方法对新样本的电性能进行了预报，结果与实验值基本一致，新设计的样本点具有比较好的电性能。
This paper focuses on investigation to improve the capacity, discharge properties at high rate, cycle life of Ni/MH negative electrodes materials and discharge potential plateau by optimization of the composition of La 1-x-y-z Ce x Pr y Nd z B 5 alloys. The results were analyzed with the pattern recognition method. Based on the models, new samples were designed and the electrochemical properties of the samples were predicted with artificial neural network. The predicted value is in good accordance with the experimental results.
出处
《中国稀土学报》
CAS
CSCD
北大核心
1998年第4期348-352,共5页
Journal of the Chinese Society of Rare Earths
基金
国家自然科学基金
关键词
稀土
储氢材料
人工神经网络
组成
Rare earths, La 1-x-y-z Ce x Pr y Nd z B 5, Hydrogen storage materials, Electrochemical properties, Pattern recognition, Artificial neural network
